Executive Summary To govern People, Diversity, Safety, and Human-Rights data for BRSR / BRSR Core reporting, you need (1) clear ownership, (2) controlled data flows from sites to reporting, (3) documented methodologies and audit trails, and (4) internal assurance ahead of final sign-off. The goal is to make the data “reportable by design” with consistent definitions, evidence, and controls across the organization and vendors.

Key Recommendations

1. Set up a single “Reporting Data Governance” model (RACI + operating rhythm)

• Create a BRSR Data Governance Committee with fixed roles:
• Executive Sponsor: typically CHRO/COO + CFO for controls/capitalization of risk
• Reporting Owner (People/Safety/Human Rights): Head of People / EHS / Compliance (as applicable)
• Data Owners by domain:
• People & Workforce: HR Ops / HRBP leadership
• Diversity & Inclusion: D&I lead + HR Analytics
• Safety: EHS Director
• Human Rights & Ethics: Compliance/Legal + Procurement for supplier aspects
• Data Stewards (per function / BU / site): accountable for local inputs and evidence
• Internal Assurance: Internal Audit / ERM with independence
• Use a RACI for every metric: Responsible, Accountable, Consulted, Informed.
• Define an operating cadence:
• Monthly data validation cycles
• Quarterly risk review
• Final pre-close review 4–6 weeks before submission

1. Define a “Metric Charter” for every BRSR People/Diversity/Safety/Human-Rights indicator

For each metric, document:

• Definition and numerator/denominator (exact calculation rules)
• Data source system(s) (HRIS, EHS systems, attendance/work management, grievance logs, audit reports, supplier questionnaires, etc.)
• Inclusion/exclusion rules (contractors? temporary staff? trainees? locations? sites under JV?)
• Frequency of capture (real-time vs monthly rollups)
• Evidence requirements (what document/record proves the number)
• Ownership of changes (how updates to methodology are approved)
• Review and sign-off step(s)

This prevents “interpretation drift” across geographies and sites.

1. Implement end-to-end data lineage and controls (from capture to reporting)

A practical control architecture:

• Capture controls:
• Standard templates at site level (EHS logs, incident forms, grievance forms)
• Mandatory fields and reason codes to reduce manual rework
• System validations (where possible)
• Processing controls:
• Automated extracts/ETL wherever feasible
• Manual adjustments only through an “Adjustment Log” with approvals and rationale
• Review controls:
• Variance analysis dashboard (e.g., headcount movement, incident rates, training coverage)
• Double-checks by a second reviewer (e.g., Site EHS lead + HR Ops reviewer for workforce figures)
• Approval controls:
• Domain-level sign-off (EHS signs Safety metrics; HR signs workforce and diversity metrics)
• Final consolidated sign-off by Executive Sponsor + CFO/Finance controls function

1. Data quality management: establish a “Quality Score” for each dataset

Use measurable controls, not only reporting accuracy at year-end:

• Completeness: % records with required fields
• Timeliness: % submissions within the reporting window
• Accuracy: discrepancy rate from sampling / reconciliation
• Consistency: year-on-year comparability checks
• Traceability: ability to produce evidence within a defined time (e.g., 24–48 hours during assurance)

Outputs:

• A simple Data Quality Scorecard per BU/site and per metric
• Required corrective actions with deadlines

1. Assurance plan: internal assurance before external submission

• Segment metrics into tiers based on risk:
• Tier 1 (high impact/high risk): safety incidents, fatalities, forced/child labor risk assessments, major grievance outcomes, workforce demographics
• Tier 2: training coverage, workforce engagement measures (if included), minor categories
• Perform:
• Walkthroughs of processes (how data is generated)
• Targeted testing (sampling of underlying records)
• Recalculation checks for a subset of formulas
• Evidence verification for adjustments/grievances/consent/closures
• Produce an “Assurance Evidence Pack” that includes:
• Metric charters
• Data lineage diagram
• Control testing results
• Adjustment log
• Sign-offs

1. Human Rights governance: manage both company operations and supply chain

For human-rights related indicators:

• Create a Human Rights Data Map:
• Direct workforce: recruitment practices, adverse impact checks, grievances, training
• Operations/sites: audits, corrective actions, monitoring
• Suppliers: supplier code adherence, due diligence activities, remediation status, audit coverage
• Link metrics to a due diligence process:
• Risk assessment methodology
• Audit schedule and remediation tracking
• Supplier classification and escalation rules
• Maintain confidentiality and privacy controls (especially grievance data and individual-level details).

1. Privacy, confidentiality, and safe handling of sensitive People data

Even if BRSR reporting is aggregated, your governance must protect sensitive inputs:

• Access controls (role-based access to HRIS/EHS/grievance systems)
• Data minimization (only retain what’s needed for reporting + assurance)
• Masking rules for any extracts used in analytics or assurance work
• Secure storage and retention policy for evidence packs

1. Standardize across sites: “One reporting language”

• Common taxonomy for:
• Employee categories (regular, temporary, contract, trainees, apprentices)
• Location mapping (company vs site; subsidiaries/JVs)
• Incident classification and severity definitions
• D&I categories (only where legally and ethically appropriate)
• Training for site data stewards:
• How to classify, how to submit, how to document evidence
• Central “Helpdesk” during the reporting window for clarifications and corrections.

1. Use an HR/EHS reporting architecture that supports audit trails

Minimum workable setup for most organizations:

• Central reporting spreadsheet with controlled templates + version history (acceptable short-term)
• Better: a lightweight data warehouse/BI layer with controlled extracts
• Ensure:
• Versioning and change logs
• Reconciliation routines to HRIS/EHS systems
• Ability to regenerate reported numbers from source evidence

Implementation Plan (Practical Phases) Phase 1: Mobilize (Weeks 1–2)

• Appoint executive sponsor + domain owners + site data stewards
• Create RACI and reporting calendar
• Build metric charter templates
• Define data lineage and evidence checklist

Phase 2: Design controls + standardize definitions (Weeks 3–6)

• Finalize metric charters (definitions, formulas, inclusion rules)
• Document data flow maps (source → processing → reporting)
• Set up data quality scorecards and variance review rules
• Draft assurance plan and evidence pack structure

Phase 3: Build/Configure + run dry tests (Weeks 7–10)

• Configure reporting templates / ETL extracts
• Conduct a “dry run” for a subset of metrics
• Perform sample evidence checks; fix gaps in data capture

Phase 4: Report-close + assurance (Weeks 11–14)

• Monthly validation during run-up; final close controls 4–6 weeks prior
• Internal assurance testing
• Executive sign-offs
• Submission readiness review

Expected Outcomes

• Repeatable, defensible reporting process with audit trails
• Reduced year-end scramble and reconciliation errors
• Stronger internal assurance outcomes (less rework, fewer findings)
• Better organizational control over workplace safety, diversity outcomes, and human-rights due diligence
• Clear accountability across HR, EHS, compliance, procurement, and site leaders

Business Impact

• Lower compliance and reputational risk from reporting inaccuracies
• Improved data-driven management of people/safety/human-rights risks
• Faster reporting cycles year over year (operational efficiency)
• Stronger governance reduces real operational incidents (especially safety and grievance handling)

Risks (and how to mitigate)

• Metric definition inconsistency across sites
• Mitigation: metric charters + training + variance checks
• Data capture gaps (missing fields, inconsistent classifications)
• Mitigation: standard incident/grievance forms, system validations, data quality scorecards
• “End-year spreadsheet manipulation” without traceability
• Mitigation: adjustment log + approvals + assurance testing
• Over-reliance on a single function (HR only / EHS only)
• Mitigation: cross-domain governance committee + RACI + joint sign-offs

Immediate Next Steps

1. Stand up a BRSR People/D&I/Safety/Human-Rights Data Governance Committee and publish RACI.
2. Create metric charters for the top ~10 high-risk/high-impact indicators you expect to report.
3. Map data lineage for each domain (HRIS, EHS incident system, grievance mechanism, supplier due diligence records).
4. Draft the internal assurance evidence pack structure and run a “dry run” on a small set of metrics.

If you share (a) your current data systems (HRIS/EHS/grievance/supplier compliance) and (b) whether you report across multiple sites/subsidiaries, I can suggest a governance model and a minimum-control checklist tailored to your setup.

If you need help implementing these recommendations or would like expert guidance tailored to your organization, the team at Zunavish would be happy to assist.